Fuzzy Model Based Control of Unmanned Aerial Vehicle

The design of fuzzy model based controller with a new analytical inversion method is presented and applied for attitude control problem of Unmanned Aerial Vehicle (UAV). The purpose of adaptive controller is to follow a certain pitch angle command under level flight condition which requires the roll stabilization controller. The Aerosonde simulation model has been chosen to apply the proposed analytical fuzzy model based controller. The simulation results show that both the roll rate and the pitch angles are tracked by the adaptive controller without significant transients. Flight test results for angle of attack control of a fixed wing platform which has been developed at UNSW@ADFA show that the controller is robust to operate in a real time environment.